6533b824fe1ef96bd127fe3f

RESEARCH PRODUCT

Using Two-Level Context-Based Predictors for Assembly Assistance in Smart Factories

Arpad GellertConstantin-bala Zamfirescu

subject

0209 industrial biotechnology020901 industrial engineering & automationComputer scienceHuman–computer interactionAdaptive system0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingContext (language use)02 engineering and technologyHardware_CONTROLSTRUCTURESANDMICROPROGRAMMINGContext based

description

The paper presents some preliminary results in engineering a context-aware assistive system for manual assembly tasks. It employs context-based predictors to suggest the next steps during the manufacturing process and is based on data collected from experiments with trainees in assembling a tablet. We were interested in finding correlations between the characteristics of the workers and the way they prefer to assemble the tablet. A certain predictor is then trained with correct assembly styles extracted from the collected data and assessed against the whole dataset. Thus, we found the predictor that best matches the assembly preferences.

yearjournalcountryeditionlanguage
2020-07-28
https://doi.org/10.1007/978-3-030-53651-0_14